INTEGRATION OF IOMT AND WBAN FRAMEWORK FOR BLOOD CANCER DETECTION HEALTHCARE SECURE SYSTEM USING BLOCKCHAIN

Recently, IoT and Blockchain make tremendous changes in the industries of healthcare through security and efficiency due the adoption of the emerging technology like Internet of Medical Things (IoMT) and WBAN framework uses in various healthcare system as well as industries has increased rapidly in last decade. There are needs of efficiency and service delivery on time; therefore, the integration of the IoMT and WBAN play an important role that represents a significant advancement in healthcare systems, particularly for the detection and classification of blood cancers such as leukemia, lymphoma, and myeloma. The IoMT devices and sensors generate large amounts of sensitive data in real time, such as individual and confidential health data or information of the patient. IoMT facilitates real-time data acquisition and transmission, while WBAN enables continuous and regular monitoring of patients through wearable and implantable sensors with patient area. In this proposed system, the synergy between IoMT and WBAN ensures timely detection of abnormal physiological signals, such as altered blood cell counts and biochemical markers, by employing advanced machine learning algorithms. The healthcare system leverages big data analytics and AI to classify various types of blood cancer, offering personalized treatment strategies. The system not only improves the accuracy of diagnosis but also ensures continuous monitoring, which is critical for managing the progression of blood cancer. In this Paper based on IoMT and WBAN for detection and classification of blood cancer that follows to new approach data of patient and remote monitoring of the patient in current condition and also communication and healthcare blood cancer detection system.